Zobrazeno 1 - 10
of 82 540
pro vyhledávání: '"An Xiaofei"'
Autor:
YIN Yanxin, MENG Zhijun, ZHAO Chunjiang, WANG Hao, WEN Changkai, CHEN Jingping, LI Liwei, DU Jingwei, WANG Pei, AN Xiaofei, SHANG Yehua, ZHANG Anqi, YAN Bingxin, WU Guangwei
Publikováno v:
智慧农业, Vol 4, Iss 4, Pp 1-25 (2022)
As one of the important way for constructing smart agriculture, unmanned farms are the most attractive in nowadays, and have been explored in many countries. Generally, data, knowledge and intelligent equipment are the core elements of unmanned farms
Externí odkaz:
https://doaj.org/article/22c83b5701a9471f9b0c84d31cc2b697
Autor:
Li, Jiaqi, Wang, Dongmei, Wang, Xiaofei, Qian, Yao, Zhou, Long, Liu, Shujie, Yousefi, Midia, Li, Canrun, Tsai, Chung-Hsien, Xiao, Zhen, Liu, Yanqing, Chen, Junkun, Zhao, Sheng, Li, Jinyu, Wu, Zhizheng, Zeng, Michael
Neural audio codec tokens serve as the fundamental building blocks for speech language model (SLM)-based speech generation. However, there is no systematic understanding on how the codec system affects the speech generation performance of the SLM. In
Externí odkaz:
http://arxiv.org/abs/2409.04016
The current quantum resource theory for Gaussian steering for continuous-variable systems is flawed and incomplete. Its primary shortcoming stems from an inadequate comprehension of the architecture of Gaussian channels transforming Gaussian unsteera
Externí odkaz:
http://arxiv.org/abs/2409.00878
Novel ordered intermetallic compounds have stimulated much interest. Ru-Al alloys are a prominent class of high-temperature structural materials, but the experimentally reported crystal structure of the intermetallic Ru2Al5 phase remains elusive and
Externí odkaz:
http://arxiv.org/abs/2408.17159
Autor:
Yin, Xiangchen, Di, Donglin, Fan, Lei, Li, Hao, Wei, Chen, Gou, Xiaofei, Song, Yang, Sun, Xiao, Yang, Xun
Recent methods using diffusion models have made significant progress in human image generation with various additional controls such as pose priors. However, existing approaches still struggle to generate high-quality images with consistent pose alig
Externí odkaz:
http://arxiv.org/abs/2408.16540
Autor:
Tan, Ashton Yu Xuan, Yang, Yingkai, Zhang, Xiaofei, Li, Bowen, Gao, Xiaorong, Zheng, Sifa, Wang, Jianqiang, Gu, Xinyu, Li, Jun, Zhao, Yang, Zhang, Yuxin, Stathaki, Tania
Enhancing the safety of autonomous vehicles is crucial, especially given recent accidents involving automated systems. As passengers in these vehicles, humans' sensory perception and decision-making can be integrated with autonomous systems to improv
Externí odkaz:
http://arxiv.org/abs/2408.16315
Autor:
Lian, Jiawei, Mei, Shaohui, Wang, Xiaofei, Wang, Yi, Wang, Lefan, Lu, Yingjie, Ma, Mingyang, Chau, Lap-Pui
It has been widely substantiated that deep neural networks (DNNs) are susceptible and vulnerable to adversarial perturbations. Existing studies mainly focus on performing attacks by corrupting targeted objects (physical attack) or images (digital att
Externí odkaz:
http://arxiv.org/abs/2409.00029
As Generative Artificial Intelligence (GenAI) technologies evolve at an unprecedented rate, global governance approaches struggle to keep pace with the technology, highlighting a critical issue in the governance adaptation of significant challenges.
Externí odkaz:
http://arxiv.org/abs/2408.16771
Accurately determining cell type composition in disease-relevant tissues is crucial for identifying disease targets. Most existing spatial transcriptomics (ST) technologies cannot achieve single-cell resolution, making it challenging to accurately de
Externí odkaz:
http://arxiv.org/abs/2408.05065
Cyber-Physical Systems (CPSs) are increasingly prevalent across various industrial and daily-life domains, with applications ranging from robotic operations to autonomous driving. With recent advancements in artificial intelligence (AI), learning-bas
Externí odkaz:
http://arxiv.org/abs/2408.03892